Graphical and numerical diagnostic tools to assess suitability of multiple imputations and imputation models
dc.contributor.author | Bondarenko, Irina | |
dc.contributor.author | Raghunathan, Trivellore | |
dc.date.accessioned | 2016-07-06T18:21:16Z | |
dc.date.available | 2017-09-06T14:20:20Z | en |
dc.date.issued | 2016-07-30 | |
dc.identifier.citation | Bondarenko, Irina; Raghunathan, Trivellore (2016). "Graphical and numerical diagnostic tools to assess suitability of multiple imputations and imputation models." Statistics in Medicine 35(17): 3007-3020. | |
dc.identifier.issn | 0277-6715 | |
dc.identifier.issn | 1097-0258 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/122409 | |
dc.publisher | Wiley | |
dc.subject.other | diagnostics | |
dc.subject.other | multiple imputation | |
dc.subject.other | propensity score | |
dc.subject.other | congeniality | |
dc.title | Graphical and numerical diagnostic tools to assess suitability of multiple imputations and imputation models | |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | |
dc.subject.hlbsecondlevel | Public Health | |
dc.subject.hlbsecondlevel | Medicine (General) | |
dc.subject.hlbsecondlevel | Statistics and Numeric Data | |
dc.subject.hlbsecondlevel | Public Health | |
dc.subject.hlbsecondlevel | Medicine (General) | |
dc.subject.hlbtoplevel | Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.subject.hlbtoplevel | Science | |
dc.subject.hlbtoplevel | Social Sciences | |
dc.subject.hlbtoplevel | Health Sciences | |
dc.description.peerreviewed | Peer Reviewed | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/122409/1/sim6926_am.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/122409/2/sim6926.pdf | |
dc.identifier.doi | 10.1002/sim.6926 | |
dc.identifier.source | Statistics in Medicine | |
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dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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